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Structured relearning of activities of daily living in dementia: the randomized controlled REDALI-DEM trial on errorless learning

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R E S E A R C H

Open Access

Structured relearning of activities of daily

living in dementia: the randomized

controlled REDALI-DEM trial

on errorless learning

Sebastian Voigt-Radloff

1†

, Maartje M. E. de Werd

2†

, Rainer Leonhart

4

, Danielle H. E. Boelen

2,5

,

Marcel G. M. Olde Rikkert

3

, Klaus Fliessbach

6,7

, Stefan Klöppel

1,8

, Bernhard Heimbach

1

, Andreas Fellgiebel

9

,

Richard Dodel

10,11

, Gerhard W. Eschweiler

12

, Lucrezia Hausner

13

, Roy P. C. Kessels

2,14*

and Michael Hüll

1,8

Abstract

Background:Errorless learning (EL) is a method for optimizing learning, which uses feed-forward instructions in order to prevent people from making mistakes during the learning process. The majority of previous studies on EL taught patients with dementia artificial tasks of little or no relevance for their daily lives. Furthermore, only a few controlled studies on EL have so far been performed and just a handful of studies have examined the long-term effects of EL. Tasks were not always trained in the patients’natural or home environment, limiting the external validity of these studies. This multicenter parallel randomized controlled trial examines the effects of EL compared with trial and error learning (TEL) on the performance of activities of daily living in persons with Alzheimer’s or mixed-type dementia living at home.

Methods:Patients received nine 1-hour task training sessions over eight weeks using EL or TEL. Task performance was measured using video observations at week 16. Secondary outcome measures were task performance measured at week 26, satisfaction with treatment, need for assistance, challenging behavior, adverse events, resource utilization and treatment costs.

Results:A total of 161 participants were randomized, of whom 71 completed the EL and 74 the TEL arm at week 11. Sixty-nine EL patients and 71 TEL patients were assessed at the 16-week follow-up (the primary measurement endpoint). Intention-to-treat analysis showed a significantly improved task performance in both groups. No significant differences between the treatment groups were found for primary or secondary outcomes.

Conclusions:Structured relearning improved the performance of activities of daily living. Improvements were maintained for 6 months. EL had no additional effect over TEL.

Trial registration:German Register of Clinical Trials DRKS00003117. Registered 31 May 2011.

Keywords:Alzheimer’s dementia, Errorless learning, Activities of daily living, Dementia, Randomized controlled trial, Cognitive rehabilitation

* Correspondence:[email protected]

Equal contributors

2Department of Medical Psychology & Radboudumc Alzheimer Center, Radboud University Medical Center, P.O. Box 9101 (internal post 925), 6500 HB Nijmegen, The Netherlands

14Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands

Full list of author information is available at the end of the article

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Background

The increasing deterioration of cognitive and daily func-tioning in Alzheimer’s dementia (AD) causes the main burden for patients, their caregivers and society, while options for disease-modifying treatments are still lacking [1, 2]. Evidence from systematic reviews of small-scale clinical trials suggests that structured teaching tech-niques may optimize or even stabilize daily functioning in AD [3–5]. Errorless learning (EL) is a prominent method for optimizing learning, which uses feed-forward instructions in order to prevent people from making mistakes during the learning process. It is assumed that by preventing errors during learning, the limited cognitive capacity of AD patients is directed toward the acquisition of the correct steps of a task, without interference of occurring errors [4]. The ration-ale behind EL is that explicit memory is responsible for recognizing and correcting the errors that are made during learning. In people with AD who have profound deficits in explicit memory, these errors may not be recognized as such and are therefore not corrected, but in-stead are implicitly consolidated into long-term memory. EL may include different techniques such as graded tasks broken down into small steps, modeling, encouragement not to guess, anticipating errors and immediate correction, prompts when steps are performed successfully, vanishing cues and spaced retrieval (rehearsal of the retrieval of in-formation using increasing time intervals) [4, 5].

A meta-analysis on the treatment effects of EL and the method of vanishing cues in amnesic patients (N= 192) showed a large and beneficial effect for the EL treatment compared with trial and error learning (TEL) [3]. A qualitative review [5] included 26 studies on teaching persons with dementia daily tasks or skills. Five con-trolled group studies and 12 single-case studies obtained significantly superior effects of EL immediately after training compared with TEL or a no-treatment con-dition. Seventeen studies showed maintenance of EL effects at follow-up. Clare and Jones [4] performed a critical review including 15 empirical studies using group designs to compare the efficacy of EL and errorful learning in persons with brain injury or dementia. These authors argued that EL may be particularly beneficial in individuals with severe memory impairments. They con-cluded that benefits of EL for persons with early-stage and moderate dementia are mixed, with some studies finding an EL benefit and others reporting no additional advantage of EL.

The majority of previous studies taught dementia pa-tients artificial tasks of little or no relevance for papa-tients in daily life. Furthermore, only a few controlled studies on EL have so far been performed and just a handful of studies have examined the long-term effects of EL. Moreover, large differences were found across studies in

the types of tasks that were taught and the exact errorless teaching methods that were used. Tasks were not always trained in the patients’ natural or home environment, limiting the external validity of these studies. Therefore we conducted the REDALI-DEM trial (RElearning methods on DAily LIving task performance of persons with DEMentia), a multisite randomized con-trolled trial (RCT) with the aim of comparing the effects of EL vs TEL on the performance of activities of daily living in persons with mild to moderate dementia living at home. Based on earlier studies [4, 5] we hypothesized that EL is superior compared with TEL.

Secondary questions of interest were as follows: can effects on performance be maintained for six months? Does relearning of daily living tasks show transfer effects to the patients’ initiative or need for assistance in activities of daily living? What are the treatment costs? How is the treatment accepted by patients? What adverse events occur during the treatment period?

Methods Design

We used a six-center, single-blind, active-controlled de-sign with a 1:1 randomization for two parallel groups to compare the effects of EL and TEL. The study was re-gistered in the German Register of Clinical Trials (DRKS00003117), which is connected to the International Clinical Trials Registry Platform. The a-priori published study protocol is available elsewhere [6]. Prior to the RCT, a pilot study was performed in which the study procedure including the EL and TEL interventions was evaluated and monitored. The practical issues and difficulties that the therapists encountered were discussed, leading to minor protocol amendments after the 6-month trial pilot phase and before the start of recruitment; these concerned the participating study sites (two resigned due to organizational reasons, and to safeguard sufficient power a new site was included), inclusion criteria (the threshold for the need for assistance in activities of daily living was increased), intervention procedures (time to select train-ing activities was extended from one to three sessions; the number of refresher sessions was reduced from three to two; special cue card series were not used in the EL arm) and outcome measurement (the task performance scale (TPS) was specified).

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assessment of task performance in people with dementia. However, the CEM was found to be less complex and less time-consuming compared with the TPS, and was therefore used in the current RCT.

Participants and setting

Persons living at home and diagnosed with mild to mod-erate AD or mixed-type dementia (Mini Mental State Examination (MMSE) [8] scores between 14 and 24) were eligible. Informed consent from both the patient and the primary caregiver was required. A caregiver had to be available for rating the need for assistance in activ-ities of daily living. For inclusion, the mean score of the five household items in the performance scale of the Interview for Deterioration in Daily Living Activities in Dementia (IDDD) [9] had to be 2.5 or higher.

Exclusion criteria were major depression (Geriatric Depression Scale—Short Form (GDS-15)≥9) [10], major need for physical nursing care (≥120 min per day) as well as severe behavioral disturbances, unstable medical conditions or lack of attention and understanding of in-structions in German as judged by the recruiting study physician and involvement in other clinical trials.

The REDALI-DEM study sites were six outpatient memory centers at university hospitals; they are located throughout Germany in urban regions with catchment areas of about 100,000 (Marburg and Tübingen), 300,000 (Freiburg and Mainz) and 400,000 (Bonn and Mannheim) inhabitants, and all centers have provided outpatient dementia care for 5–17 years. The standard service of the study sites comprised a diagnostic work-up for dementia and related diagnoses as well as recommendations for risk reduction, dementia medication and nonpharmacological treatments. Principal investigators from the centers were psychiatrists, neurologists or geriatricians with long-standing experience in dementia care.

Procedures

After patient recruitment, the site investigator requested randomization via email. Within 48 hours, the trial stat-istician at a detached site provided a 1:1 randomization (computer-generated, block sizes varying at random, no stratification) for each individual case. Independent assessors were blinded to group assignment. Blinded assessment of the treatment effects was ensured by videotaping the task performance and removing all hints of the treatment modality. Experimental and control interventions included the same amount of personal involvement. Neither patients nor therapists were pre-sented with an assumption as to which intervention may be more likely to improve activities of daily living. At week 0, trial physicians completed the baseline assess-ment (t0) at the study center and patients were random-ized. At weeks 1 and 2, the therapists selected two tasks

that were relevant for the patient in daily life, but which he/she was no longer able to perform independently to-gether with the patients and his or her caregiver. The baseline task performance was then videotaped. From weeks 3 to 10, patients received nine 1-hour training sessions at home. Task performance was videotaped again at week 11 (t1), week 16 (t2, primary outcome measure) and week 26 (t3). Therapists carried out two 1-hour refresher training sessions in weeks 19 and 20. Trial physicians completed the follow-up assessments at the study center in weeks 16 and 26 (see Table 1 for the intervention scheme).

Interventions

Two separate treatment manuals for EL or TEL have been developed, pilot-tested, adapted and taught in introductory seminars. Per study site, we trained at least three therapists (occupational therapist, nurse, psycholo-gist or social worker). To minimize contamination, we separated the main therapists for EL from the main therapists for TEL while teaching the experimental and control treatment protocols. The third therapist received both EL and TEL training, serving as a substitute; this person was not allowed to carry out more than four sessions per patient. To reduce selection bias, we assigned interventionists to EL, TEL or substitute at random.

By shared decision-making, the therapist and the patient selected two training tasks relevant for the patient’s daily living. The two selected tasks were referred to as task A and task B respectively (note that these two tasks were thus different for each patient). To do so, they used a cata-log of 43 predefined tasks (20 household tasks such as doing the dishes or laying a table, 11 leisure tasks such as performing light physical exercise or taking photographs, 12 cognitively challenging tasks such as finding a bus connection or surfing the Internet). Tasks had to be independent from changing seasons or environments (e.g., not shoveling snow, not using equipment that will be renewed soon) and repeatable within 30 min (e.g., not pre-paring an extensive meal). Within the first three 1-hour sessions the tasks had to be selected and checked for rele-vance and the patient’s performance level had to show room for improvement (50–75% insufficient performance).

Each therapist’s session consisted of 1 hour for the ac-tual training (30 min each for task A and task B) and 1 hour for documentation and travel time. If patients expressed concerns, therapists could reduce the training time to engage in motivating conversation. For the train-ing, existing home equipment and no extra materials were used. Caregivers were not present during training.

Errorless learning (experimental arm)

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patient to perform the first step and accompanied the patient’s step performance by continuous verbal instruc-tion. As soon as the therapist anticipated a potential error, he/she intervened by giving a short demonstration of the correct performance. When the patient had per-formed the first step correctly, the therapist demon-strated and instructed the next step. These procedures of instruction, performance and early intervening to avoid errors were followed until the whole task was per-formed. The training stopped after 30 min, irrespective of how often the task or its individual steps were per-formed. After the fifth session, the therapist was allowed to reduce the amount of modeling and verbal instruc-tion, but had to provide it again as soon as the patient showed potential errors, hesitated or showed uncertainty in performing the task (Table 2).

Trial and error learning (control arm)

The therapist asked the patient to perform the task and did not provide any instruction or demonstration. When the patient made an error, he/she was allowed to guess to self-correct. In the first 10-min period of the training, the therapist did not provide any support, apart from observ-ing with interest and intervenobserv-ing if the patient showed signs of irritation or frustration. In the second training phase, the therapist used open-ended questions about the purpose of the task after three insufficient trials to find so-lutions. If the patient was still unable to perform the step, the therapist gave verbal instructions but did not demon-strate the step. This procedure of the patient performing and guessing, the therapist’s supporting open-ended ques-tions and—if necessary—correct instructions was contin-ued until the whole task was performed or the training stopped after 30 min (Table 2).

Intervention adherence

Masked external raters assessed the intervention adher-ence by rating videos of two treatment sessions, one at the beginning and one at the end of the treatment series, for two patients of each therapist. In addition, therapists commented and self-rated their therapeutic interaction, dealing with errors and protocol adherence for each pa-tient after a treatment series was completed in week 11. External ratings and self-ratings were scored on the same six-point scale (1 = excellent job; 6 = poor treatment).

Outcome measures

Task performance was defined as the primary patient-related outcome measure and assessed using the CEM. All tasks of the catalog were subdivided into core elements and illustrated with detailed descriptions (see Table 3 for an ex-ample of an activity, its core elements and the individual steps). Therapists adapted this description to the individual context in the patient’s home and specified the required steps to successfully perform each core element of each chosen task. The blinded assessors used these descriptions to rate the patient’s actual performance of each core elem-ent using a seven-point scale for each task (1 = not per-formed at all as trained by the therapist; 7 = perper-formed exactly as trained by the therapist) [7].

Secondary outcomes were daily functioning as measured with the IDDD [11], resource utilization (Resource Utilization in Dementia (RUD)) [12, 13] and satisfaction with treatment measured with a verbal rating scale (ranging from 1 = very satisfied to 5 = very unsatisfied). Furthermore, we assessed several control measures: cognitive status (MMSE [8]), dementia stage (Reisberg Clinical Dementia Rating), challenging behavior assessed by the Neuropsychi-atric Inventory (NPI) [14, 15] and treatment costs using a

Table 1Intervention scheme

Weeks 0–2 Weeks 3–10 Week 11 Week 16a Weeks 19–20 Week 26

Measurement t0 – t1 t2 – t3

Intervention – Nine sessions Break Two refresher sessions –

a

Primary outcome measure

Table 2Overview of the errorless learning (EL) and trial and error learning (TEL) arms of the intervention

EL intervention TEL intervention

–Task is divided into core elements

–Each step is demonstrated by the therapists accompanied with verbal instructions

–The patient is then invited to perform the task step, and is verbally guided by the therapists

–Only when the patient performs the first step correctly does the therapist demonstrate and instruct the next step

–In case of hesitation or (near) error by the patient, the step is repeated again and the sequence is also repeated again (both with demonstrating and verbal instructions by the therapist)

–From session six onward it is allowed to fade out help

–The patient must try to perform the task by himself/herself for the first 10 min, regardless of the amount of errors or hesitations

–Intervention is only allowed within the first 10 min when the patient becomes irritated or frustrated

–After 10 min, intervention is allowed using a stepwise approach: 1. Stimulating the patient by asking open questions

2. Summarizing what has already been done and what the task goal is

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cost unit rate of€60 per treatment hour including all costs (personnel, material, travel, overheads). In the case of group differences, these control measures can be used to adjust for potential confounding. Death, nursing home admissions and nonelective hospital admissions were defined as serious adverse events.

Statistical analyses

A sample size of 80 participants per treatment arm was calculated for the detection of small effect sizes (f= 0.10) in an analysis of variance with two groups and two re-peated measurements at baseline and week 16 hypothe-sizing α= 0.05, a power of 0.8 and a correlation of 0.6 between the measurement points (totaln= 160). Overall efficacy of treatment was assessed by conducting multi-variate analysis of covariance (ANCOVA) controlling for pretreatment scores on all outcome measures and con-sidering all standards for the testing of assumptions. The multivariate analyses were done separately for primary and secondary outcomes because of the different num-bers of measurement points. For the primary outcome, we performed an intention-to-treat (ITT) analysis on all randomized patients not dropped out at week 16. We used 10 multiple imputations with the Full Information Maximum Likelihood method when data were missing in single items or scales at week 16 or week 26 and for complete dropouts at week 26. The missing-data mech-anism is ignorable if data are missing at random [16]. Missing data can be considered Missing Completely At Random (MCAR) if the probability that data are missing does not depend on observed or unobserved data. We used Little’s MCAR test to examine whether our missing pattern was completely at random. The control measures cognitive status (MMSE [8]), dementia stage (Reisberg Clinical Dementia Rating) and challenging behavior (NPI) [14, 15] were analyzed for group differences at baseline and after the intervention. We used SPSS 23.0 and a two-tailed α= 0.05 for all statis-tical analysis.

Results

Recruitment, patient flow and baseline characteristics

The recruitment period lasted 3.5 years from April 2012 to September 2015. Two initial study sites received introduction and training but could not recruit patients; one site due to lack of access to eligible patients, one site because one trained therapist decided to withdraw. Thereafter, a new study site (Mannheim) was recruited and enrolled their first patient in May 2013.

From 161 randomized participants, 140 and 137 respectively received a follow-up assessment at week 16 and week 26 (attrition rate 13.0% and 14.9%; Fig. 1). Reasons for drop out were death (1 EL; 1 TEL), nonelec-tive admission to hospital (1 EL; 2 TEL), admission to nursing home (2 EL; 2 TEL) and withdrawal (9 EL; 6 TEL). Group differences in the baseline characteristics of patients, caregivers and therapists were clinically not relevant (Table 4 and Additional file 1: Table S1).

Intervention delivery and adherence

From the 81 randomized patients in the EL group, all ses-sions were completed in full for 71 persons. In five cases, not all sessions were completed but a sufficient number (≥9 sessions) was completed. In another five cases, an insufficient number of sessions (three, four, five, five or six sessions) had taken place. From the 80 cases randomized to TEL, the intervention was fully completed in 74 cases and sufficiently completed in two cases (≥9 sessions). Four cases received an insufficient treatment (three, four, five or six sessions). No patient changed from the EL to TEL condition or from the TEL to EL condition.

Tasks that were trained the most included following written instructions to perform light exercises (23 EL, 27 TEL), making a telephone call (15 EL, 17 TEL), selecting a specific TV broadcast (11 EL, 16 TEL), writing a shopping list (9 EL, 15 TEL), finding a telephone number (6 EL, 16 TEL), playing a DVD (11 EL, 1 TEL), playing a CD at a convenient volume (9 EL, 2 TEL) and coloring an outlined picture (5 EL, 5 TEL).

Table 3Example of the‘Making a telephone call’activity divided into different core elements

Core element

Get the number Dial the number Make conversation and end call

End task

Possible steps –Take a telephone book or mobile phone

–Search the telephone number in the mobile phone or phonebook

–Write the number on a piece of paper

–Press the correct numbers on the telephone to dial the number

OR

–Select the correct name in the telephone book of the telephone

–Press the correct button to make the telephone call

–Talk into the telephone OR

–Talk into the telephone using the‘speaker’function

–End the call by pressing the correct button

–Place the telephone back in the right position

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After the last treatment session, therapists rated them-selves on three items (therapeutic interaction, dealing with errors and manual adherence). Each of these items was scored on a six-point scale (1 = excellent, 2 = good, 3 = adequate, 4 = sufficient, 5 = insufficient, 6 = poor). On average, therapists in both groups self-rated their inter-vention adherence as‘good’(EL: mean 1.8, SD 0.4; TEL: mean 2.0, SD 0.5). External raters used the same three items and the same six-point scale to rate the therapists’ adherence, rating them on average as ‘good to excellent’ (EL: mean 1.5, SD 0.8; TEL: mean 1.6, SD 0.8). After study completion we asked therapists for their assump-tions about the superior learning technique. Six out of eight EL therapists (three missing data) and three out of 10 TEL therapists rated the technique they had per-formed as superior.

Outcomes

For the primary outcome, ITT analysis of the 140 partici-pants with a week 16 follow-up assessment showed signifi-cantly improved task performance of the self-selected task A and task B in both groups from baseline to week 16 (standardized effect size (95% CI): task A, 0.61 (0.37–0.85); task B, 0.47 (0.23–0.71)) and to week 26 (task A, 0.41 (0.17–0.64); task B, 0.26 (0.03–0.50)). No significant time by treatment group interaction was found and no differ-ences were found between task A and task B (Fig. 2 and Table 5). The assumptions for multiple imputation were fulfilled as the Missing Completely At Random Test (Lit-tle’s MCAR test) showed a missing pattern completely at random (χ2= 102.4, df = 102,p= 0.471).

For secondary outcome and control measures, the pa-tient’s need for assistance (measured with the IDDD),

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cognition (measured with the MMSE), challenging be-havior (measured with the NPIQ) and Satisfaction with Treatment verbal rating scale, as well as treatment costs and resource utilization (measured with the RUD), remained stable over 26 weeks and did not significantly

differ by treatment group or measurement time point (Table 5). Patients of both groups rated satisfaction with treatment as very good. Costs were similar for EL and for TEL (€1907 and €1897, respectively) (see Additional file 2: Table S2). Because we found no group differences

Table 4Demographic and clinical characteristics at baseline

Errorless learning Trial and error learning

Completers week 16 (n= 69)

Dropouts week 16 (n= 12)

Total (n= 81) Completers week 16 (n= 71)

Dropouts week 16 (n= 9)

Total (n= 80)

Patient—demographic characteristics

Age (years) 76.7 (8.0) 79.3 (6.1) 77.1 (7.8) 76.2 (6.5) 75.2 (9.4) 76.1 (6.8)

Sex (female) 40 (58) 6 (50) 46 (57) 40 (56) 6 (67) 46 (58)

School

No school graduation 2 (2.9) 0 (0.0) 2 (2.5) 1 (1.4) 0 (0.0) 1 (1.3)

Middle school graduation (9 or 10 years)

60 (87.0) 11 (91.7) 71 (87.7) 52 (73.2) 7 (77.8) 59 (73.8)

High school graduation (12 or 13 years)

7 (10.1) 1 (8.3) 8 (9.9) 18 (25.4) 2 (22.2) 20 (25.0)

Vocational education

Not completed 17 (24.6) 2 (16.7) 19 (23.5) 12 (16.9) 3 (33.3) 15 (18.8)

Completed 52 (75.4) 10 (83.3) 62 (76.5) 59 (83.1) 6 (66.7) 65 (81.3)

Patient—clinical characteristics

TMT number of missing data 2 – 2 3 – 3

TMT number of not completed (>240 sec)

19 2 21 12 1 13

TMT number of completed (≤240 sec)

48 10 58 56 8 64

TMT completed (sec) 92.6 (40.9) 122.6 (61.6) 97.8 (45.9) 106.0 (50.8) 106.8 (45.3) 106.1 (49.8)

MMSE 19.8 (3.3) 19.1 (3.0) 19.7 (3.2) 19.7 (3.3) 20.3 (3.6) 19.8 (3.3)

Reisberg Clinical Dementia Rating 4.3 (0.6) 4.3 (0.5) 4.3 (0.7) 4.3 (0.7) 4.3 (0.7) 4.3 (0.7)

GDS 2.7 (1.7) 2.8 (1.9) 2.7 (1.9) 2.8 (2.2) 2.6 (2.1) 2.8 (2.2)

Years since dementia onset 2.2 (2.3) 1.8 (1.3) 2.1 (2.1) 1.5 (1.5) 3.3 (4.3) 1.7 (2.1)

Number of patients without additional diagnosis

27 (39.1) 4 (33.3) 31 (38.3) 30 (42.3) 4 (44.4) 34 (42.5)

Number of patients with 1–3 additional diagnoses

33 (47.8) 6 (50.0) 39 (48.1) 33 (46.5 4 (44.4) 37 46.3)

Number of patients with

≥4 additional diagnoses

9 (13.0) 2 (16.7) 11 (13.6) 8 (11.3) 1 (11.1) 9 (11.3)

Primary caregiver

Age (years) 62.3 (13.5) 65.4 (12.9) 62.7 (13.4) 62.9 (13.8) 60.2 (12.5) 62.6 (13.6)

Sex (female) 25 (36.2) 4 (33.3) 29 (35.8) 26 (36.6) 3 (33.3) 29 (36.3)

Relation

Spouse 35 (50.7) 7 (58.3) 42 (51.9) 41 (57.7) 4 (44.4) 45 (56.3)

(Grand) Child 30 (43.5) 4 (33.3) 34 (42.0) 27 (38.0) 5 (55.6) 32 (40.0)

Others 4 (5.8) 1 (8.3) 5 (6.2) 3 (4.2) 0 (0.0) 3 (3.8)

Living together 47 (68.1) 9 (75.0) 56 (69.1) 47 (66.2) 5 (55.6) 52 (65.0)

Caring for the patient (months)

26.4 (26.8) 33.1 (34.9) 27.4 (28.0) 21.9 (18.7) 33.4 (37.2) 23.2 (21.5)

Data presented as mean (standard deviation) or number (percentage)

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at baseline or after the intervention on any of the con-trol measures (Table 5), we did not use them for adjust-ing the primary outcome for confoundadjust-ing.

Study sites reported four serious adverse events in the EL group (one death, one nonelective hospital admis-sion, two nursing home admissions) and five in the TEL group (one death, two nonelective hospital admissions, two nursing home admissions). Study site leaders judged all serious adverse events as unrelated to the study treat-ment or assesstreat-ment.

Discussion

This is the first large RCT on EL as a method to teach persons with dementia activities of daily living in their own environment. The objective of this multicenter REDALI-DEM trial was to evaluate whether EL or TEL demonstrates superior effects on the performance of two relevant activities of daily living in persons with mild to moderate AD living at home. Results showed an im-proved post-treatment performance of daily living tasks in both arms, but EL was not found to be superior to TEL. The relearning of activities did not affect the pa-tients’ initiative or need for assistance in activities of daily living. Both EL and TEL were very well accepted by the patients and the costs did not differ between both treatments. Although serious adverse events occurred, these were judged unrelated to the intervention. The fact that improved task performance in both treatment arms did not lead to improvement on secondary outcomes indicates that no generalization effects on daily life functioning were found, but only improvements on the trained tasks. Note that the lack of to be expected generalization effects has been put forward as a limita-tion of EL previously [4].

These results are not in agreement with most earlier findings on the effects of EL, because previous reviews

on EL suggested superior results for EL compared with TEL. However, most previous studies were small-scale trials or proof-of-principle studies in which patients were taught artificial tasks that had marginal relevance to them (such as learning an artificial word list). Our hypothesis that EL would be a more effective teaching method for persons with dementia was based on these earlier findings. However, this hypothesis is not con-firmed in this first adequately powered, rigorously designed and well-performed multicenter RCT.

Recent studies that have used procedural tasks or skills to examine the effects of EL in patients with dementia showed mixed results [5, 17]. One explanation for these mixed findings may lie in the nature of the tasks. That is, there is some evidence that EL works through the fa-cilitation of implicit, automatic learning processes, which have been shown to be intact in patients with dementia [18]. Possibly, the procedural nature of the tasks that were trained in the current RCT may in itself have already facilitated learning, irrespective of the error re-duction aspect. Indeed, learning has taken place in both treatment arms, which is in line with this view. More-over, both treatment procedures could be categorized as forms of‘structured learning’. That is, therapists adopted a step-by-step approach, provided feedback and stimu-lated engagement in the task. This structuring may have optimized learning in itself, resulting in better post-treatment task performance, an effect that was also maintained at the follow-up assessment. In addition, to measure our primary outcome a recently developed rat-ing scale was used: the Core Elements Method (CEM). The pilot phase was therefore also used to validate this newly developed outcome measure. The interrater reli-ability and concurrent validity of the CEM and TPS were analyzed and compared [7]. Based on these results, the TPS and CEM were found to be equally valid for the as-sessment of task performance in people with dementia. However, the CEM was found to be less complex and less time-consuming compared with the TPS, and there-fore used in the current RCT. Although result from this previous pilot phase showed excellent validity and reli-ability, the current results have to be interpreted with some caution because its psychometric properties have only been examined in one study.

Strengths of the current study include the naturalistic setting of the intervention. That is, the intervention was carried out in the patients’own homes, using tasks that were relevant for them to acquire. Patients also appreci-ated the intervention very much. This may have also promoted learning in both arms, obscuring a potential superior effect of error reduction. In addition, the large sample size and the low drop-out rate can be considered strengths of the study. The low drop-out rate prevented attrition bias and justifies that we did not include all

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randomized patients in our ITT analysis, but only those with data for at least at two time points (baseline and primary outcome time point at week 16). Data imput-ation for participants with data for only one time point is prone to adverse events (three patients). Note that all other dropouts withdrew their consent.

All persons involved were blinded to our hypotheses and the raters who assessed the primary outcome were also fully blinded to treatment arms and the hypothesis. Treatment adherence of the therapists was monitored using self-ratings and external ratings, showing good treatment adherence. The planned sample size was reached in this RCT and the findings are reported ac-cording to the CONSORT guidelines [19], including long-term results, treatment costs and adverse events.

Limitations include the heterogeneity of the tasks that were trained. Tasks like making a grocery list or plan-ning a trip may have had more degrees of freedom than straightforward ‘stimulus-response’ tasks such as dialing a telephone number or playing a DVD. A methodo-logical limitation was that patients and therapists by def-inition were not blinded to the treatment itself, although measures were taken to prevent cross-over effects by let-ting therapists give only one type of intervention.

Conclusion and future research

Persons with dementia can still be retrained in perform-ing activities of daily livperform-ing usperform-ing structured learnperform-ing, with effects being maintained for 6 months. However, EL had no additional effect over TEL. Future research should examine whether the effectiveness of structured learning depends on patient-specific or task-specific characteristics.

Additional files

Additional file 1: Table S1.Presenting characteristics of the therapists participating in both learning conditions (years in the field, qualification, cases trained and sex). (DOCX 13 kb)

Additional file 2: Table S2.Presenting an overview of resource utilization (treatment hours and costs, intensity of professional and primary care and use of dementia related medicines) following structured relearning of individually selected daily living tasks for both learning conditions at baseline and weeks 11, 16 and 26. (DOCX 16 kb)

Abbreviations

AD:Alzheimer’s dementia; CI: Confidence interval; EL: Errorless learning; GDS: Geriatric Depression Scale; IDDD: Interview for Deterioration in Daily Living Activities; ITT: Intention to treat; MMSE: Mini Mental State Examination; RCT: Randomized controlled trial; REDALI-DEM: RElearning methods on DAily LIving task performance of persons with DEMentia; TEL: Trial and error learning

Acknowledgements

The authors are very grateful to the more than 30 therapists involved in the study for their great efforts and commitment.

Funding

The REDALI-DEM study was funded by the German Research Foundation (Reference Number: HU 778/3-1). DHEB and MMEdW were funded by the NutsOhra Foundation (grant #1301-019), awarded to RPCK.

Availability of data and materials

Data supporting the findings are available upon request. Please contact Dr S. Voigt-Radloff.

Authors’contributions

SV-R, RL, RPCK, MGMOR and MH contributed to study conception, design and interpretation. RL performed the statistical analysis and contributed to the interpretation. SV-R, MMEdW and RPCK drafted the manuscript. RL, DHEB, MGMOR, KF, SK, BH, AF, RD, GWE, LH and MH contributed to the data acquisition and revised the manuscript critically. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable. Note that the data presented in Additional file 1: Table S1 refer to characteristics of the therapists (not the participants).

Ethics approval and consent to participate

The Medical Ethics Committee of the University Hospital Freiburg has given ethical approval (No.245 194/11). All patients and primary caregivers gave their informed consent.

Author details 1

Center for Geriatric Medicine and Gerontology, University Medical Center Freiburg, Freiburg, Germany.2Department of Medical Psychology & Radboudumc Alzheimer Center, Radboud University Medical Center, P.O. Box 9101 (internal post 925), 6500 HB Nijmegen, The Netherlands.3Department of Geriatric Medicine & Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands.4Department of Social Psychology & Methodology, University of Freiburg, Psychological Institute, Freiburg, Germany.5Rehabilitation Center Klimmendaal, Arnhem, The Netherlands.6Department of Psychiatry and Psychotherapy, University Medical Center Bonn, Bonn, Germany.7German Center for

Neurodegenerative Diseases (DZNE), Bonn, Germany.8Department of Psychiatry and Psychotherapy, University Medical Centre Freiburg, Freiburg, Germany.9Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.10Department of Neurology, Philipps University Marburg, Marburg, Germany.11Department of Geriatrics, University Clinic Essen, Essen, Germany.12Geriatric Center, University Hospital Tübingen, Tübingen, Germany.13Department of Gerontopsychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.14Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.

Received: 26 September 2016 Accepted: 21 February 2017

References

1. Ballard C, Gauthier S, Corbett A, Brayne C, Aarsland D, Jones E. Alzheimer’s disease. Lancet. 2011;377:101931.

2. Winblad B, et al. Defeating Alzheimer’s disease and other dementias: a priority for European science and society. Lancet Neurol. 2016;15:455–532. 3. Kessels RPC, de Haan EHF. Implicit learning in memory rehabilitation: a

meta-analysis on errorless learning and vanishing cues methods. J Clin Exp Neuropsychol. 2003;25:805–14.

4. Clare L, Jones RS. Errorless learning in the rehabilitation of memory impairment: a critical review. Neuropsychol Rev. 2008;18:1–23.

5. de Werd MME, Boelen D, Olde Rikkert MG, Kessels RPC. Errorless learning of everyday tasks in people with dementia. Clin Interv Aging. 2013;8:1177–90. 6. Voigt-Radloff S, Leonhart R, Olde Rikkert MGM, Kessels RPC, Hüll M. Study

(11)

7. de Werd MME, Hoelzenbein AC, Boelen DHE Olde Rikkert MGM, Huell M, Kessels RPC, et al. Interrater reliability and concurrent validity of a new rating scale to assess the performance of everyday life tasks in dementia: the Core Elements Method. Am J Alzheimers Dis Other Demen. 2016;31: 605–11.

8. Folstein MF, Folstein SE, McHugh PR.Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98.

9. Teunisse S, Derix MM. The interview for deterioration in daily living activities in dementia: agreement between primary and secondary caregivers. Int Psychogeriatr. 1997;9 Suppl 1:155–62.

10. Sheikh JIYJ. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. In: Brink TL, editor. Clinical Gerontology: A Guide to Assessment and Intervention. New York: Haworth Press; 1986. p. 16573. 11. Voigt-Radloff S, Leonhart R, Schutzwohl M, Jurjanz L, Reuster T, Gerner A,

et al. Interview for Deterioration in Daily Living Activities in Dementia: construct and concurrent validity in patients with mild to moderate dementia. Int Psychogeriatr. 2012;24:38290.

12. Neubauer S, Holle R, Menn P, Grassel E. A valid instrument for measuring informal care time for people with dementia. Int J Geriatr Psychiatry. 2009;24:275–82.

13. Wimo A, Nordberg G. Validity and reliability of assessments of time. Comparisons of direct observations and estimates of time by the use of the resource utilization in dementia (RUD)-instrument. Arch Gerontol Geriatr. 2007;44:71–81.

14. Cummings JL. The Neuropsychiatric Inventory: assessing psychopathology in dementia patients. Neurology. 1997;48:S10–6.

15. Cummings JL, Ihl R, Herrschaft H, Hoerr R, Tribanek M. Sensitivity to change of composite and frequency scores of the Neuropsychiatric Inventory in mild to moderate dementia. Int Psychogeriatr. 2013;25:4318. 16. Enders CK. Applied Missing Data Analysis. New York: The Guilford Press;

2010.

17. Bourgeois J, Laye M, Lemaire J, Leone E, Deudon A, Darmon N, et al. Relearning of activities of daily living: a comparison of the effectiveness of three learning methods in patients with dementia of the Alzheimer type. J Nutr Health Aging. 2016;20:48–55.

18. van Halteren-van Tilborg IADA, Scherder EJA, Hulstijn W. Motor-skill learning in Alzheimers disease: a review with an eye to the clinical practice. Neuropsychol Rev. 2007;17:203–12.

19. Schulz KF, Altman DG, Moher D. CONSORT (2010) statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8:18.

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Figure

Table 1 Intervention scheme
Table 3 Example of the ‘Making a telephone call’ activity divided into different core elements
Fig. 1 Flow of participants through the trial. IDDD Interview for Deterioration in Daily Living Activities, MMSE Mini Mental State Examination
Table 4 Demographic and clinical characteristics at baseline
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References

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